Point on a World Map
✓ Published1🌍 Public
This example visualizes global population distribution by plotting cities as points on a natural Earth projection world map, with point size scaled by population. The map renders land masses, graticules, and country borders from TopoJSON 50m world-atlas data using d3.geoNaturalEarth1 and d3.geoPath. City coordinates are projected from latitude/longitude, with circle radii determined by a square-root scale mapping population values to a maximum radius of 8 pixels. React manages the SVG rendering, while d3.csv loads the world cities dataset.
AI-generated descriptionA program that shows a world map using 50m topo json data.
Data: World Map 50m - TopoJson.
MIT Licensed